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Information Technology 🏒 Full Time ⭐️ Verified

Senior Architect - Project 2026

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Are you ready to build the world of 2026?

Nexus Future Systems is seeking a visionary Senior Architect to lead the development of our flagship 'Project 2026' platform. We are not just building software; we are architecting the infrastructure for the next generation of predictive AI and autonomous systems. This role offers a unique opportunity to define the technical roadmap for a product that will shape the future of enterprise automation.

In this position, you will bridge the gap between theoretical AI capabilities and scalable, production-grade engineering. You will work with a world-class team of engineers, data scientists, and product strategists to deliver a robust, secure, and future-proof solution.

Responsibilities

  • Lead the end-to-end technical architecture for Project 2026, ensuring scalability, security, and high performance under heavy load.
  • Design and implement microservices and serverless architectures to support rapid iteration and deployment.
  • Collaborate with data science teams to integrate machine learning models into real-time applications.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Identify technical risks early and implement mitigation strategies to keep the 2026 roadmap on track.
  • Optimize database schemas and API performance to ensure zero-latency user experiences.
  • Drive the adoption of DevOps practices and CI/CD pipelines to accelerate delivery cycles.

Qualifications

  • 10+ years of experience in full-stack software engineering with at least 5 years in a senior architectural role.
  • Deep expertise in Python, Go, or Rust, with experience in cloud-native technologies (AWS, GCP, or Azure).
  • Strong understanding of distributed systems, containerization (Docker/Kubernetes), and message queues (Kafka/RabbitMQ).
  • Proven track record of deploying scalable AI/ML solutions to production environments.
  • Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
  • Experience with Agile/Scrum methodologies and a passion for continuous improvement.
  • Master’s degree in Computer Science, Engineering, or a related field is a plus.

Required Skills

Python Go Kubernetes AWS Machine Learning System Design Microservices Docker CI/CD Agile

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